Spatial heterogeneity in transmission and the impact of interventions: a mathematical modelling approach

传播的空间异质性和干预措施的影响：数学建模方法

• 批准号: MC_PC_19067
• 负责人: Leon Danon
• 金额: $ 7.49万
• 依托单位: UNIVERSITY OF EXETER
• 依托单位国家: 英国
• 项目类别: Intramural
• 财政年份: 2020
• 资助国家: 英国
• 起止时间: 2020 至 无数据
• 项目状态: 已结题
• 来源: https://gtr.ukri.org/projects?ref=MC_PC_19067
• 关键词: Spatial; heterogeneity; transmission; impact; interventions; Spatial; heterogeneity; transmission; impact; interventions

A new strain of Coronavirus appeared in China at the end of 2019 and is spreadingbeyond Chinese borders. The purpose of this project is to minimise the number of seriouscases and deaths caused by the virus, following spread in the United Kingdom. We willuse the latest information about the UK population, the best biological information aboutthe virus to inform mathematical models that predict where and when the disease willspread and in what numbers. This information, rapidly communicated to the NHS willprovide the best opportunity to manage care and allocate resources proactively, inadvance of the arrival of new cases of Coronavirus.

2019年底，在中国出现了一种新的冠状病毒，并正在传播中国边界。该项目的目的是最大程度地减少在英国传播之后由病毒造成的严重案例和死亡的数量。我们将提供有关英国人群的最新信息，这是有关病毒的最佳生物学信息，以告知数学模型，以预测该疾病的何时何时何地以及何时散布。这些信息迅速传达给了NHS，将提供最佳的机会来管理护理和积极分配资源，这不利新病例的到来。